Predicting on the Edge: Identifying Where a Larger Model Does Better

15 February 2022

Papers citing "Predicting on the Edge: Identifying Where a Larger Model Does Better"

5 / 5 papers shown

Title
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement Chaojian Li Wenwan Chen Jiayi Yuan Yingyan Lin Ashutosh Sabharwal 23 0 0 19 Mar 2023
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 146 370 0 09 May 2020
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 243 289 0 17 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 311 4,203 0 23 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016